Pith Number
pith:2CZBOGZH
pith:2026:2CZBOGZHSSN3HARKOFNRKMDD4F
not attested
not anchored
not stored
refs pending
3D Gaussian Accelerated Ray Tracing: Fast training through particle-based backward propagation
arxiv:2608.17298 v1 · 2026-08-18 · cs.GR · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2CZBOGZHSSN3HARKOFNRKMDD4F}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-08-19T00:29:12.149301Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0b2171b27949bb3822a715b153063e166c71e6f1e5824f3dd264e9937773d2e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2CZBOGZHSSN3HARKOFNRKMDD4F \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d0b2171b27949bb3822a715b153063e166c71e6f1e5824f3dd264e9937773d2e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "13a711686e713d480b46653bcae364013f790f21622b36eb1fdfb20fb4f53ea0",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.GR",
"submitted_at": "2026-08-18T02:50:46Z",
"title_canon_sha256": "ba2bd4c400cd392049e4df4f7231e629d16e05c84b9fb613dff16f3d60c42048"
},
"schema_version": "1.0",
"source": {
"id": "2608.17298",
"kind": "arxiv",
"version": 1
}
}